EPIC: a Sub-6mW In-Memory Computing-Based RISC-V Microcontroller Unit with On-Chip Training Support for TinyML
[paper]
Chuan-Tung Lin, Seunghyun Moon, Paul Xuanyuanliang Huang and Mingoo Seok
IEEE European Solid-State Electronics Research Conference (ESSERC) 2025.
T-REX: A 68-567μs/token, 0.41-3.95μJ/token Transformer Accelerator with Reduced External Memory Access
and Enhanced Hardware Utilization in 16nm FinFET
[paper]
Seunghyun Moon, Mao Li, Gregory Chen, Phil Knag, Ram Krishnamurthy and Mingoo Seok
IEEE International Solid-State Circuits Conference (ISSCC) 2025.
Before 2025
A 1-TFLOPS/W, 28-nm Deep Neural Network Accelerator featuring Online Compression and Decompression
and BF16 Digital In-Memory-Computing Hardware
[paper]
Bo Zhang, Seunghyun Moon and Mingoo Seok
IEEE Custom Integrated Circuits Conference (CICC) 2024.
Joint Optimization of Cache Management and Graph Reordering for GCN Acceleration
[paper]
Kyeong-Jun Lee, Byungjun Kim, Han-Gyeol Mun, Seunghyun Moon and Jae-Yoon Sim
IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) 2023.
A 28 nm 66.8 TOPS/W Sparsity-Aware Dynamic-Precision Deep-Learning Processor
[paper]
Han-Gyeol Mun, Hyunwoo Son, Seunghyun Moon, Jaehyun Park, Byungjun Kim and Jae-Yoon Sim
IEEE Symposium on VLSI Circuits and Technology (VLSI) 2023.
A 127.8TOPS/W Arbitrarily Quantized 1-to-8b Scalable-Precision Accelerator
for General-Purpose Deep Learning with Reduction of Storage, Logic, and Latency Waste
[paper]
Seunghyun Moon, Han-Gyeol Mun, Hyunwoo Son and Jae-Yoon Sim
IEEE International Solid-State Circuits Conference (ISSCC) 2023.
Configurable Energy-Efficient Lattice-Based Post-Quantum Cryptography Processor for IoT Devices
[paper]
Byungjun Kim, Jaehan Park, Seunghyun Moon, Kiseo Kang and Jae-Yoon Sim
IEEE European Solid-State Circuits Conference (ESSCIRC) 2022.